Talantix.io
Jimmy Technologies•11.03.26
AI SCORE 8.5

Data Engineer with Machine Learning and Generative AI - Remote

$90K–$130K/year
RemoteAI/Big Data
Python•SQL•AWS•Machine Learning•Generative AI•ETL•Docker•CI/CD

About the Role

We are seeking a talented Data Engineer with Machine Learning and Generative AI - Remote to join our innovative team. As a Data Engineer, you will play a crucial role in developing and implementing data solutions that leverage machine learning and generative AI technologies. This is an exciting opportunity to work remotely and contribute to projects that enhance fan engagement for a Fortune 50 client.

What You'll Do

  • Design, develop, and maintain data pipelines using ETL processes to ensure data quality and accessibility.
  • Implement machine learning models and generative AI solutions to drive insights and improve data-driven decision-making.
  • Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
  • Utilize tools such as Python, SQL, and AWS to build scalable data architectures.
  • Participate in Agile development processes to deliver high-quality software solutions.
  • Work with technologies like Docker and CI/CD to streamline deployment processes.
  • Engage in continuous learning and stay updated on the latest advancements in AI and machine learning.

Requirements

  • 3+ years of experience as a Data Engineer or in a similar role.
  • Proficiency in Python and SQL for data manipulation and analysis.
  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
  • Familiarity with AWS services and cloud-based data solutions.
  • Knowledge of generative AI concepts and applications.
  • Strong problem-solving skills and ability to work independently in a remote setting.
  • Excellent communication skills to collaborate effectively with team members.

Nice to Have

  • Experience with C# and .NET Core for data applications.
  • Familiarity with MLOps practices and tools.
  • Understanding of neural networks, natural language processing, and computer vision.

What We Offer

  • Remote-first working environment with flexible hours.
  • Long-term contract role (6+ months) with potential for extension.
  • Opportunity to work with a Fortune 50 client on exciting projects.
  • Engagement in a fast-paced, innovative environment that fosters creativity.
  • Competitive salary and benefits package.
  • Access to professional development resources and learning opportunities.
Why This Job8.5 of 10

This remote Data Engineer role offers a unique opportunity to work with cutting-edge technologies in machine learning and generative AI. Join a Fortune 50 client and make an impact!

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in Python and SQL with hands-on experience in building ETL pipelines for data transformation, ensuring seamless integration of machine learning models into production environments.

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Strong familiarity with AWS services, particularly S3, Lambda, and SageMaker, to effectively deploy and manage machine learning applications in a cloud environment, demonstrating adaptability in a fully remote work setting.

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Experience with Docker and CI/CD practices, showcasing a mindset geared towards automation and continuous integration, facilitating rapid deployment of data solutions and machine learning algorithms.

Learning Resources

→Python for Data Engineeringcourse
→AWS Machine Learning Documentationguide
→Building ETL Pipelines with Pythonarticle

Career Path

Data Engineer with Machine Learning and Generative AI - Remote(Now)→Senior Data Engineer or Machine Learning Engineer(1-2 years)→Lead Data Engineer or Data Science Manager(3-5 years)

Market Overview

Python Market Size 2024
$22B
Annual Growth
11.2%
AI Adoption in Data Engineering
62%
Investment in Generative AI
+300%
Labour Demand for Data Engineers
+35%
Avg Salary for Data Engineers
$120K

Skills & Requirements

Required
PythonSQLAWS
Growing in Demand
Apache SparkTensorFlowData Visualization (Tableau, Power BI)
Declining
HadoopMapReduce

Domain Trends

Rise of Generative AI
Generative AI is projected to grow by 45% annually, with companies increasingly leveraging it for data generation and analysis.
Cloud Data Engineering
Over 70% of organizations are migrating their data engineering processes to the cloud, emphasizing skills in AWS and Azure.
Emphasis on Real-time Data Processing
The demand for real-time data processing solutions is increasing, with a 50% rise in job postings for related technologies like Apache Kafka.

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